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Friday, November 15 • 1:40pm - 2:10pm
Reliable Machine Learning

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Machine learning has been described as "Software 2.0" and holds the promise of totally changing how software systems are constructed. But if manually-written "Software 1.0" code is still plagued with bugs, downtime, and security vulnerabilities, how can we hope to achieve reliable behavior in systems with significant data-dependent machine learning components and their attendant complexities? This talk will survey academic research, industry best practices, and software tools spanning the end-to-end development of machine learning systems from data pipelines to tests and types all the way through to end user experience.

Speakers
avatar for David Andrzejewski

David Andrzejewski

Engineering, Sumo Logic
David Andrzejewski is a Senior Engineering Manager at Sumo Logic, where he works on applying statistical modeling and analysis techniques to machine data such as logs and metrics. He also co-organizes the SF Bay Area Machine Learning meetup group. David holds a PhD in Computer Sciences... Read More →


Friday November 15, 2019 1:40pm - 2:10pm
reactive

Attendees (30)